Philipp Brun

Perspectives in machine learning for wildlife conservation

Managing artificial intelligence

Shaping the Water-Harvesting Behavior of Metal–Organic Frameworks Aided by Fine-Tuned GPT Models

ChatGPT Research Group for Optimizing the Crystallinity of MOFs and COFs

Harvesting Water from Air with High-Capacity, Stable Furan-Based Metal–Organic Frameworks

ChatGPT Chemistry Assistant for Text Mining and the Prediction of MOF Synthesis

High-Temperature Water Adsorption Isotherms and Ambient Temperature Water Diffusion Rates on Water Harvesting Metal–Organic Frameworks

MOF Linker Extension Strategy for Enhanced Atmospheric Water Harvesting

Global climate-related predictors at kilometer resolution for the past and future

Digital taxonomist: Identifying plant species in community scientists’ photographs